Introducing neural networks to predict stock prices
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Updated
Aug 3, 2019 - Python
Introducing neural networks to predict stock prices
Artificial neural network classes and tools in Python and TensorFlow.
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥
A deep learning model to classify the Arabic letters and digits easily.
"A neural network to rule them all, a neural network to find them, a neural network to bring them all and verify if is you !!" (Face recognition tool)
[ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
Autonomous RC car using Raspberry Pi. Uses picamera data, OpenCV for processing, along with ultrasonic sensor data to drive autonomously.
PyDTNN - Python Distributed Training of Neural Networks
load point forecast
Various methods for image classification of handwritten numbers
A parallel implementation of an MLP used to recognize characters regardless of the font it is written in.
A deep learning project which demonstrates the recogniton of gender by voice , through the help of deep learning models like cnn,mlp,alexnet,vgg16
Movie ratings prediction
An implementation of multi-layer perceptron for classifying thyroid disease dataset
A clean, pure C++/CUDA implementation of Capsule Networks, no cuDNN, TF, Keras, or libraries.
A feedforward multi-layer perceptron Artificial Neural Network (ANN) model for MATLAB
Multilayer Perceptron Neural network for binary classification between two type of breast cancer ("benign" and "malignant" )using Wisconsin Breast Cancer Database
Code for TKDE paper "A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation"
This code shows how to test a trained MLP model which is an xml file. Training is done by opencv mlp module.
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